Job Description
Job Role: Jr. Site Reliability Engineer(SRE)
Job Location: Addison TX (Day 1 Onsite)
Job Type: Full Time
Salary Range: $80000 to $90000/Annum
Note: There will be an In Person Interview is required
Roles & Responsibilities:
- Hands-on SRE with deep OpenShift/container expertise who can Consultantly troubleshoot issues across application, database, networking, observability, workflow orchestration, and GPU infrastructure layers while driving reliability, automation, and operational excellence.
- OpenShift or Kubernetes certification. Experience supporting large-scale distributed systems
- 5+ years of experience in Site Reliability Engineering (SRE), Production Support, Platform Engineering
Key Responsibilities:
- Own the reliability, availability, and performance of applications running on Red Hat OpenShift and Kubernetes platforms in production environments.
- Consultantly troubleshoot and resolve complex incidents across application, database, networking, observability, workflow orchestration, and GPU infrastructure layers.
- Administer and support OpenShift clusters, including deployments, pods, services, routes, operators, namespaces, resource quotas, and cluster upgrades.
- Lead incident response, perform root cause analysis (RCA), and drive permanent fixes and post-incident improvements.
- Define, monitor, and improve SLIs, SLOs, and error budgets to ensure services meet reliability targets.
- Build and maintain monitoring, logging, and alerting using tools such as Prometheus, Grafana, Splunk, ELK/EFK, or Dynatrace.
- Automate repetitive operational tasks and reduce toil using scripting (Shell, Python) and infrastructure-as-code tools (Ansible, Terraform, Helm).
- Support and improve CI/CD pipelines (Jenkins, GitHub Actions, Tekton, ArgoCD) for safe and repeatable deployments.
- Support workflow orchestration platforms (e.g., Airflow, Argo Workflows, Control-M) and troubleshoot job failures and scheduling issues.
- Support GPU-enabled workloads on OpenShift/Kubernetes, including NVIDIA GPU Operator, node configuration, and capacity monitoring.
- Investigate database-related issues (e.g., Oracle, PostgreSQL, MongoDB) such as connectivity, performance, and capacity.
- Diagnose networking issues including DNS, load balancers, ingress/egress, network policies, TLS/certificates, and service mesh.
- Perform capacity planning, performance tuning, and scaling of containerized workloads.
- Create and maintain runbooks, SOPs, and knowledge base articles; participate in on-call rotation.
- Partner with development, platform, security, and infrastructure teams to improve system resilience and operational excellence.
Required Skills & Qualifications:
- Strong hands-on experience with Red Hat OpenShift (primary) and Kubernetes (secondary) in production.
- Solid understanding of containers (Docker/Podman), container registries, and image lifecycle management.
- Proficiency with Linux administration and troubleshooting (RHEL preferred).
- Scripting and automation skills in Shell and/or Python.
- Experience with observability tools (Prometheus, Grafana, Splunk, ELK/EFK, Dynatrace, or similar).
- Working knowledge of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing, firewalls).
- Experience with CI/CD, GitOps, and infrastructure-as-code (Helm, Ansible, Terraform, ArgoCD).
- Experience with ITIL processes such as incident, problem, and change management (ServiceNow or similar).
- Strong analytical, problem-solving, and communication skills; ability to work Consultantly under pressure.
- Bachelor's degree in Computer Science, Engineering, or a related field.
Preferred / Nice to Have:
- Red Hat Certified OpenShift Administrator (EX280), CKA, or CKAD certification.
- Experience with GPU infrastructure (NVIDIA GPU Operator, CUDA) and AI/ML workloads on Kubernetes.
- Exposure to service mesh (Istio / OpenShift Service Mesh) and API gateways.
- Experience with public cloud platforms (AWS, Azure, or Eligible to workP) and hybrid cloud environments.
- Background in the Banking/Financial Services domain with exposure to regulated, high-availability environments.
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